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公开(公告)号：US20240135608A1
公开(公告)日：2024-04-25
申请号：US17973281
申请日：2022-10-24
Applicant: Kyndryl, Inc.
Inventor： Veeresh Bushetti , Nalini M , Kalpesh Sharma
CPC classification number: G06T11/206 , G06F8/77 , G06F16/26 , G06T11/001
Abstract: A computer-implemented method, in accordance with one embodiment, includes collecting data relating to development of a software product, the collected data including a plurality of different types of data relating to the development of the software product. A portion of the collected data is selected based on a characteristic of an intended user, the portion of the collected data including a plurality of the types of data. The selected portion of the collected data is transformed into data visualizations representing the data, the different types of the data having different data visualizations relative to one another. The data visualizations are output in a single visual representation for display to the intended user.
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2.发明公开公开(公告)号：US20240311146A1
公开(公告)日：2024-09-19
申请号：US18122053
申请日：2023-03-15
Applicant: Kyndryl, Inc.
Inventor： Nalini M , Kalpesh Sharma , Prasanna Holla , Veeresh Bushetti
CPC classification number: G06F8/77 , G06F8/72 , G06F21/577 , G06F2221/033
Abstract: A computer-implemented method, in accordance with one aspect of the present invention, includes collecting data existing in a development system that relates to the code change request, in response to receiving a code change request to merge new code with existing code. Factors from the collected data are computed for assessing a risk of promoting the new code, the factors including at least: a developer information factor, a developer availability factor, and an environment health analysis factor. The factors are processed to compute a confidence score for the code change request. If the confidence score is in a first predefined range, the new code corresponding to the code change request is promoted for merging with the existing code, without human intervention. If the confidence score is in a second predefined range, an indication that human intervention is needed before promoting the code is output.
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Patent Agency Ranking
公开(公告)号：US20240281742A1
公开(公告)日：2024-08-22
申请号：US18111371
申请日：2023-02-17
Applicant: Kyndryl, Inc.
Inventor： Avinash Chandra , Veeresh Bushetti , Hariharan N. Venkitachalam , Kalpesh Sharma
IPC: G06Q10/0637 , G06Q30/0202
CPC classification number: G06Q10/06375 , G06Q30/0202
Abstract: In one general embodiment, a computer-implemented method includes collecting information relating at least to market trends and problem ticketing. The collected information is stored in a knowledge repository. At least some of the collected information is processed to compute weightage scores for requirements specified in a policy configuration. A list comprising at least some of the requirements and indications of the weightage scores corresponding thereto is generated and output.
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公开(公告)号：US20240233216A9
公开(公告)日：2024-07-11
申请号：US17973281
申请日：2022-10-25
Applicant: Kyndryl, Inc.
Inventor： Veeresh Bushetti , Nalini M , Kalpesh Sharma
CPC classification number: G06T11/206 , G06F8/77 , G06F16/26 , G06T11/001
Abstract: A computer-implemented method, in accordance with one embodiment, includes collecting data relating to development of a software product, the collected data including a plurality of different types of data relating to the development of the software product. A portion of the collected data is selected based on a characteristic of an intended user, the portion of the collected data including a plurality of the types of data. The selected portion of the collected data is transformed into data visualizations representing the data, the different types of the data having different data visualizations relative to one another. The data visualizations are output in a single visual representation for display to the intended user.
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公开(公告)号：US20250036659A1
公开(公告)日：2025-01-30
申请号：US18361563
申请日：2023-07-28
Applicant: Kyndryl, Inc.
Inventor： KALPESH SHARMA , Muniyandi Perumal Thevar , Nalini M , Veeresh Bushetti
Abstract: An approach is disclosed that receives a user activity from a user that is using a datastore visualization display. The display displays a first visualization pertaining to one or more datastores with the datastore visualization display provided at least in part by a context driven lateral artificial intelligence (CDLAI) engine. The received user activity is provided as input to the CDLAI to generate a second visualization that is displayed to the user at the datastore visualization display that is displayed to the user. Artificial intelligence (AI) models that are used by the CDLAI are then trained based on the received user activity. The training results in updates to the visualizations.
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公开(公告)号：US12182567B2
公开(公告)日：2024-12-31
申请号：US18122053
申请日：2023-03-15
Applicant: Kyndryl, Inc.
Inventor： Nalini M , Kalpesh Sharma , Prasanna Holla , Veeresh Bushetti
Abstract: A computer-implemented method, in accordance with one aspect of the present invention, includes collecting data existing in a development system that relates to the code change request, in response to receiving a code change request to merge new code with existing code. Factors from the collected data are computed for assessing a risk of promoting the new code, the factors including at least: a developer information factor, a developer availability factor, and an environment health analysis factor. The factors are processed to compute a confidence score for the code change request. If the confidence score is in a first predefined range, the new code corresponding to the code change request is promoted for merging with the existing code, without human intervention. If the confidence score is in a second predefined range, an indication that human intervention is needed before promoting the code is output.
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7.发明公开公开(公告)号：US20240311504A1
公开(公告)日：2024-09-19
申请号：US18122036
申请日：2023-03-15
Applicant: Kyndryl, Inc.
Inventor： Nalini M , Viswanatha Krishnamurthy , Muniyandi Perumal Thevar , Veeresh Bushetti
CPC classification number: G06F21/6227 , G06F21/604 , G06F2221/2113
Abstract: A computer-implemented method, according to one embodiment, includes causing a trained artificial intelligence (AI) model to derive data access privilege grants before data is stored in a predetermined database, and segmenting the data according to the data access privilege grants during storage of the data in the predetermined database. Metadata that defines the data access privilege grants is stored with the segments of data. The method further includes receiving, from a first user device, a query requesting data stored in the predetermined database. At least some of the metadata is read to identify a segment of the data associated with a data access privilege grant associated with the query. The method further includes allowing the first user device to access the identified segment of data for fulfilling the query.
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